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Natural Sciences Resource Center Floor 2, Dimond Library Wednesday, November 18, 2015 Oral Presentation Schedule 10:00a – 10:15a 11:00a – 11:15a 11:30a.

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Presentation on theme: "Natural Sciences Resource Center Floor 2, Dimond Library Wednesday, November 18, 2015 Oral Presentation Schedule 10:00a – 10:15a 11:00a – 11:15a 11:30a."— Presentation transcript:

1 Natural Sciences Resource Center Floor 2, Dimond Library Wednesday, November 18, 2015 Oral Presentation Schedule 10:00a – 10:15a 11:00a – 11:15a 11:30a – 11:45a 12:00p – 12:15p Robust Changes in Future Heat Stress Within a Land Surface Model Presented by: Jonathan Buzan Using GIS to Understand the UNH Water Supply Presented by: Anne Lightbody Application of GIS for Post-Landslide Mapping in Snohomish County, Washington. Presented by Michael Bogonko & Jean Benoit Changes in Yearling Moose Dispersal in Northern New England Between 2001 and 2015 Presented by: Kyle Ball

2 Natural Sciences Resource Center Floor 2, Dimond Library Wednesday, November 18, 2015 Oral Presentation Schedule 12:30p – 12:45p 1:00p – 1:15p 2:00p – 2:15p 3:00p – 3:15p Using ArcGIS Online to Teach a Social Science Class Presented by: Tu Lan Space Archaeology: Using GIS and Remote Sensing to Understand Spatial Patterns in Human Settlements Presented by: Mike Palace Remote Sensing and GIS Methods in the World of Professional Research Presented by: Lindsay Ledoux Modelling Forests in 3-Dimensions Presented by: James Perkins

3 Presentation Synopsis Robust changes in future heat stress within a global land surface model – Jonathan Buzan Heat stress is a global issue that inhibits worker and animal productivity. We use the HumanIndexMod, which contains 9 heat stress metrics and 4 moist thermodynamic quantities, within the Community Land Model version 4.5 (CLM4.5) to map robust changes of heat stress in future climate. CLM4.5 is driven by atmospheric forcing from four CMIP5 Archive models, CCSM4, ESM2G, IPSL-CM5A-IR, and BCC-CSM1. The simulations use the RCP8.5 greenhouse gas forcing and we run two time slices, 2026-2045 and 2081-2100. We show that each heat stress metric shows robust changes between the four simulations. Additionally, we show that the global metric change normalized to the CMIP5 model global mean surface temperature change is the same rate of change between the four simulations. Using GIS to Understand the UNH Water Supply – Anne Lightbody The Durham/UNH water system obtains its water from the Lamprey and Oyster watersheds. GIS tools coupled with topography can be used to interpolate between widely spaced rain gages to estimate rainfall in these watersheds. Comparing annual average rainfall to annual average river flow rates, we will see that the majority of rainwater evaporates from the watersheds, and that Durham/UNH uses a tiny fraction of the total. However, seasonal differences in water availability and usage represent water supply challenges.

4 Presentation Synopsis Application of GIS for Post-Landslide Mapping in Snohomish County, Washington – Michael Bogonko & Jean Benoit This study presents post-landslide mapping of the Oso Landslide using a Geographical Information Systems (GIS) framework. The work provided GIS support to the Geotechnical Extreme Events Reconnaissance (GEER) team, comprising of engineers and scientists involved in detailed mapping and surveying of the OSO Landslide and assessing the impacted area. GIS tools are useful in extracting relevant data with spatial analysis capability. Using high resolution lidar images, the trees and logs displaced by the slide were digitized and the movement of tree logs analyzed to provide mean directions of the debris flow. Through this work as well as looking at the historical landslide data in the OSO region, including hydrology, geology, geomorphology and rainfall data, the GEER team was able to hypothesize possible triggers for the OSO Landslide. Changes in Yearling Moose Dispersal in Northern New England Between 2001 and 2015 – Kyle Ball Comparing moose dispersal distance from their natal home range can indicate differences in population density when accounting for changes in habitat quality. Using a Landsat time series stack to identify years of forest disturbance we are now able to account for changes in quality moose habitat over space and time.

5 Presentation Synopsis Remote Sensing and GIS Methods in the World of Professional Research – Lindsey Ledoux With emphasis on the importance of open-source software and I will be presenting the value of learning basic principles of RS and GIS in order to be able to apply it to real-world projects. I am going to take a more informal approach into describing what it's like to be "green" in the field of research, and what the GIS professional field is like at Applied Geosolutions, a local geospatial consulting firm. Space Archaeology: Using GIS and Remote Sensing to Understand Spatial Patterns in Human Settlements – Mike Palace I will be discussing two of my projects that involve geospatial analytical methods in archaeological study. The projects are located in the Amazon and in Michigan. Modelling Forests in 3-Dimensions – James Perkins Modern remote sensing technology allows us to develop 3-D models of forests. This is a walkthrough of the different methods we have to achieve this, from Lidar to UAV-imagery Using ArcGIS Online to Teach a Social Science Class – Tu Lan Applications of open source GIS software for analysis of economic geography questions


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